Jianjun Yuan | Network Resilience and Robustness | Research Excellence Award

Published on by Network Science

Prof. Jianjun Yuan | Network Resilience and Robustness | Research Excellence Award

Southwest University | China

Prof. Jianjun Yuan is an established researcher whose work spans intelligent systems, deep learning, and secure networked applications, with strong contributions to intrusion detection, image understanding, and robust optimization models. His research emphasizes lightweight and resilient learning architectures for complex real-world environments, including in-vehicle networks, medical imaging, and high-resolution remote sensing. He has authored 39 scholarly documents, receiving 215 citations across 205 citing publications, and holds an h-index of 9, reflecting sustained research impact and influence. Recent publications include RL-IDS, a robust reinforcement learning–based intrusion detection system for in-vehicle networks (Journal of Information Security and Applications, 2026), IMFF, a dual-space optimization framework for remote sensing scene classification (Expert Systems with Applications, 2026), and MLFD, a multi-level feature disentanglement network for medical image recognition (Expert Systems with Applications, 2025). His work advances robust, interpretable, and application-driven artificial intelligence research.

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Featured Publications

Khaoula Hidawi | Network Resilience and Robustness | Research Excellence Award

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Dr. Khaoula Hidawi | Network Resilience and Robustness | Research Excellence Award

University of Insubria | Italy

Dr. Khaoula Hidawi is a researcher specializing in secure and trustworthy unmanned aerial vehicle (UAV) systems, with a focus on trust management, cybersecurity, and data-driven intelligence in urban and cyber-physical environments. She has authored 3 scholarly documents, received 1 citation, and currently holds an h-index of 1, reflecting emerging impact in a highly technical research domain. Her work spans UAV cooperation, path planning, regulatory compliance, and resilience against adversarial threats such as signal jamming, GPS spoofing, and network vulnerabilities. She is the lead author of “AeroTrust-5D: A Five-Dimensional Trust Management System for Optimizing UAV Cooperation and Path Planning in Urban Areas,” published in IEEE Transactions on Vehicular Technology. Her research has also appeared in IEEE Transactions on Big Data and ACM security workshops, with additional manuscripts accepted or under review in leading IEEE and Elsevier journals, contributing to the advancement of secure, intelligent UAV and FANET systems.

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Featured Publications

Guangyue Gao | Trade Networks & Maritime Networks | Research Excellence Award

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Dr. Guangyue Gao | Trade Networks & Maritime Networks | Research Excellence Award

Ocean University of China | China

Dr. Guangyue Gao’s research portfolio reflects a focused contribution to maritime economics, transport networks, and marine policy analysis, with particular emphasis on fairness–efficiency dynamics across regional scales. The scholarly record comprises 5 documents, which have received 3 citations, resulting in an h-index of 1. Core research outputs apply advanced network science and game-theoretic perspectives to global maritime transport systems, especially energy trade corridors. A notable award-winning study develops multi-layer network models of global maritime LPG trade using CEPII data and AIS big data, integrating supply–demand dynamics, maritime transport infrastructure, and relational trade structures. The work identifies dual-core structures led by major economies, highlights the strategic centrality of key maritime hubs, and reveals structural disparities and stability hierarchies across network dimensions. Overall, this research advances empirical understanding of global maritime energy trade, network robustness, and policy-relevant insights into marine economic systems and transport resilience.

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Featured Publication

Fadi Sibai | Network | Best Researcher Award

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Assoc. Prof. Dr. Fadi Sibai | Network | Best Researcher Award

Associate Professor at Gulf University for Science and Technology, Kuwait

Dr. Fadi Sibai is an accomplished Associate Professor at Gulf University for Science and Technology (GUST) in Kuwait, with over 35 years of experience in electrical and computer engineering, AI, cybersecurity, and academic leadership. He holds a Ph.D. in Electrical Engineering from Texas A&M University and has held senior roles in prestigious institutions like Intel, Saudi Aramco, and UAE University. Dr. Sibai’s interdisciplinary research focuses on AI, machine learning, cybersecurity, and digital design, with numerous publications, including over 78 journal articles and 10 books. He has received multiple prestigious awards, such as the IBM Faculty Award and nVIDIA Research Grant, and is recognized as a leading innovator in smart cities, healthcare, and AI ethics. His work has significantly impacted education, industry, and society, making him an ideal candidate for the Best Researcher Award.

Professional Profile
Scopus
Orcid
Google Scholar

Educational Details

Dr. Sibai earned his Ph.D. and M.S. degrees in Electrical Engineering from Texas A&M University, specializing in computer engineering with minors in computer science and communications. His doctoral research focused on AI-based coprocessor architectures. He also received his B.S. in Electrical Engineering from the University of Texas at Austin, concentrating on computer science and engineering. His academic qualifications are bolstered by certifications such as PMP, CISSP, CQRM, and advanced studies at Stanford University.

Professional Experience

Dr. Sibai’s career spans academia, industry, and research leadership. He served as Dean of Engineering at Prince Mohammad Bin Fahd University, Dean at American International University Kuwait, and Associate Dean at GUST, where he played a key role in curriculum development, program accreditation (ABET, NCAAA), and launching AI and cybersecurity programs. In the industry, he held senior positions at Intel Corporation and Saudi Aramco, overseeing impactful projects in HPC, network security, robotics, and IT/OT integration. He has also been a consultant, educator, and researcher at various global institutions, including Walden University, KFUPM, and UAE University.

Research Interests

Dr. Sibai's research is interdisciplinary, focusing on AI, machine learning, computer and embedded systems, high-performance computing, digital design, data science, robotics, and cybersecurity. His recent work includes AI for smart cities , AI ethics and regulation , ensemble learning models in healthcare , and network-on-chip architectures. He is also an expert in neural networks , fault-tolerant computing, and energy-aware systems, blending theoretical modeling with real-world applications.

Author Metrics

Dr. Sibai has authored or co-authored over 250 scholarly publications, including 78+ journal articles, 10 books/book chapters, and numerous conference papers . Many of these are indexed in Scopus and IEEE Xplore, with his work being cited nearly 1,000 times. He is a long-time member of editorial boards and technical committees for top journals and conferences.

Awards and Honors

Dr. Sibai’s career has been recognized with numerous prestigious awards, including the IBM Shared University Research Award , IBM Faculty Award, nVIDIA Research Grant, and multiple Intel awards for innovation and performance excellence. He was named among IBC’s Top 100 Engineers and Educators and featured in Who’s Who in the World. He is also a distinguished speaker at international conferences and won the Best Research Project Award at UAE University. As a Senior IEEE Member and a member of organizations like PMI and ISC2, he is widely respected in both academia and industry.

Publication Top Notes
1. ParaEyes: The Smart Eye Bot System for Paralyzed Patients

  • Authors: M. Al Jaziri, G. Al Ali, H. Al Swailmeen, A.A. El-Moursy, F.N. Sibai

  • Journal: Journal of Circuits, Systems and Computers, 2025

  • Summary:
    This paper presents ParaEyes, a smart assistive bot system that enables paralyzed patients to interact with their environment using eye movements and blinking patterns. Leveraging computer vision, machine learning, and sensor fusion, the system facilitates tasks such as communication and device control. The research highlights its real-world applicability in neurorehabilitation and patient autonomy, especially for individuals with ALS or spinal cord injuries.

2. Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer Treatment

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Platform: bioRxiv preprint, 2025.02.17.638660

  • Summary:
    This study extracts and preprocesses genomic data from The Cancer Genome Atlas (TCGA) using cBioPortal, creating machine-learning-ready datasets for the development of predictive models in personalized cancer treatment. It lays the foundation for using ML classifiers to assist oncologists in tailoring treatment plans based on genomic signatures, supporting precision oncology research.

3. The Robustness of AI-Classifiers in the Face of AI-Assisted Plagiarism: The Case of Turnitin AI Content Detector

  • Authors: K. Ibrahim, D. Otaibi, F.N. Sibai

  • Journal: International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2025

  • Summary:
    This paper examines the reliability and vulnerability of AI-based plagiarism detection tools, particularly Turnitin’s AI Content Detector, in detecting content generated or modified by large language models (LLMs). The findings expose potential weaknesses in current detection algorithms and propose methods for enhancing AI classifier robustness in academic integrity systems.

4. Application of Ensemble Learning Models in Computer-Aided Diagnosis of Skin Diseases

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Journal: Neural Computing and Applications, 2025

  • Summary:
    This research evaluates the performance of ensemble learning models (such as Random Forest, XGBoost, and AdaBoost) for diagnosing skin diseases using clinical and dermoscopic image data. The models showed high accuracy, sensitivity, and specificity, demonstrating that ensemble-based approaches can significantly enhance AI-aided dermatological diagnostics.

5. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Journal: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper proposes a collaborative and adaptive cybersecurity framework designed for cognitive cities. It integrates machine learning algorithms and shared threat intelligence to enable smart urban infrastructure to defend against evolving cyber threats. The model improves resilience, detection, and adaptability in real-time, supporting safe digital environments in smart city ecosystems.

Conclusion

Assoc. Prof. Dr. Fadi Sibai is eminently qualified for the Best Researcher Award, standing out for his long-term research excellence, technological innovation, and strategic leadership in academic and applied AI domains. His work addresses societal challenges through AI, pushes forward smart infrastructure and cybersecurity, and contributes meaningfully to medical, ethical, and educational AI ecosystems.

His record of scholarship, innovation, mentorship, and global engagement makes him a deserving and ideal candidate for this prestigious honor. The award would not only recognize his decades of impact but also support his ongoing contributions to shaping the future of AI, education, and engineering.

Han Zhang | Network Security | Best Researcher Award

Published on by Network Science

Mr. Han Zhang | Network Security | Best Researcher Award

Associate Professor at Tsinghua University, China

Author Profile

Scopus

Google Scholar

Summary

Dr. Han Zhang is a Special Research Fellow and Doctoral Supervisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. With a strong foundation in computer science and network security, he has cultivated a career that bridges advanced research and practical innovation in cyberspace governance and network science. His work spans interdisciplinary domains, driving impactful contributions in cybersecurity education and system-level network research. Committed to academic excellence and talent cultivation, Dr. Zhang is recognized for his mentorship and pioneering teaching reforms. He also actively leads collaborative international research, maintaining a strong presence in the global academic community.

Educational Background

Dr. Han Zhang earned his Ph.D. in Computer Science and Technology from Tsinghua University (2013.09–2018.07), under the supervision of Professor Xia Yin. During his doctoral studies, he was a visiting scholar at George Washington University (2016.10–2017.09), working with Prof. Lan Tian in the School of Electrical and Information Engineering. He holds a bachelor’s degree in Computer Science and Technology from Jilin University (2009.08–2013.06). His academic training reflects a solid grounding in both theoretical and applied aspects of computer science, forming the basis for his later work in network security and systems research.

Professional Experience

Dr. Zhang has served as a Special Research Fellow and Ph.D. advisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. He was an Assistant Professor and Master’s Supervisor at the School of Cybersecurity, Beihang University. He has also led courses and supervised graduate research in programming and network security. His roles have consistently involved curriculum reform, student mentoring, and interdisciplinary research collaboration. Dr. Zhang’s academic positions reflect his commitment to both foundational research and the cultivation of next-generation cybersecurity professionals.

Research Interests

Dr. Zhang’s research interests encompass network science, cyberspace governance, system security, and cybersecurity education. His work integrates data-driven methodologies with system design to explore trust, resilience, and efficiency in networked systems. He is particularly focused on enhancing the security of critical infrastructure through intelligent algorithms and robust frameworks. Additionally, he investigates educational strategies for cultivating application-oriented cybersecurity talent. His interdisciplinary perspective positions him at the intersection of theoretical innovation and practical deployment, contributing to the strategic evolution of secure and sustainable digital ecosystems.

Author Metrics

Dr. Han Zhang has published extensively in high-impact journals and conferences in the fields of computer science and network security. He has co-authored significant teaching reform papers, including in Industrial and Information Technology Education, where he explored curriculum innovation and cybersecurity talent development. His academic work is accessible via NetSys Lab, and he has garnered increasing citations for both technical and pedagogical contributions. His collaborative and first-author papers reflect a balanced academic profile, with a growing international scholarly influence in cybersecurity education and network systems research.

Awards and Honors

Throughout his academic career, Dr. Zhang has received multiple accolades for excellence in research, teaching, and innovation. As a Party member, he actively engages in academic leadership and mentorship, contributing to institutional and national education reforms. His teaching reform initiatives have been recognized for their practical impact on developing high-caliber cybersecurity professionals. He has also led and participated in funded projects focused on network security and educational development. These honors reflect his sustained contributions to the advancement of both science and pedagogy in China’s evolving digital landscape.

Publication Top Notes

1. Centralized Network Utility Maximization with Accelerated Gradient Method

Authors: Y. Tian, Z. Wang, X. Yin, X. Shi, J. Yang, H. Zhang
Journal: IEEE Transactions on Networking
Year: 2025 (Forthcoming/Published)
Details: This paper presents a centralized algorithm using an accelerated gradient method for efficient network utility maximization, achieving faster convergence and scalable optimization for large-scale networks.

2. ACME++: A Secure Authorization Mechanism for ACME Clients in the Web PKI Ecosystem

Authors: T. Zhang, H. Zhang, Y. Wei, Y. Li, X. Shi, J. Wang, X. Yin
Conference: Proceedings of the ACM Web Conference (WWW)
Pages: 1058–1067
Year: 2025
Abstract: ACME++ strengthens the ACME protocol by introducing a novel, secure client authorization method within the Web PKI system, improving defense against client impersonation and replay attacks.

3. Poster: Scalable and Interpretable Multilayer Overlay Network Checking via Ensemble Verification

Authors: X. Liu, Y. Li, H. Zhang, X. Yin, X. Shi, Z. Wang, G. Ren, J. Yao
Conference: ACM SIGCOMM 2024 – Posters and Demos Track
Pages: 22–24
Year: 2024
Publisher: ACM
Description: This poster introduces an ensemble-based verification tool enabling scalable analysis and interpretability for multilayer overlay networks used in complex infrastructure setups.

4. Cost-efficient Flow Migration for SFC Dynamical Scheduling in Geo-distributed Clouds

Authors: W. Chen, Z. Wang, H. Zhang, X. Yin, X. Shi
Journal: Computer Networks
Volume: 249
Article Number: 110496
Year: 2024
Publisher: Elsevier
Abstract: This study introduces a dynamic, cost-optimized scheduling algorithm for service function chaining (SFC) across geographically distributed cloud environments, addressing performance and resource constraints.

5. ROV-GD: Improving the Measurement of ROV Deployment Using Graph Difference

Authors: J. He, Y. Li, H. Zhang, C. An, J. Wang
Conference: 2024 IEEE Symposium on Computers and Communications (ISCC)
Pages: 1–7
Year: 2024
Publisher: IEEE
Abstract: ROV-GD leverages graph-difference metrics to refine the measurement accuracy of Route Origin Validation (ROV) deployments, improving BGP routing security assessment.

Conclusion

Dr. Han Zhang exemplifies a modern cybersecurity researcher with a well-rounded profile in theoretical innovation, practical systems research, interdisciplinary integration, and educational reform. His affiliation with Tsinghua University, impactful publications in IEEE and ACM, and his leadership in cybersecurity education firmly establish him as a highly deserving recipient of the Best Researcher Award in Network Security.

José Fernando Maya-Vetencourt – Network Science- Top Researcher Award

Published on by Network Science

José Fernando Maya-Vetencourt – Network Science- Top Researcher Award

Assoc Prof Dr. José Fernando Maya-Vetencourt distinguished academic and researcher in the field Network science.

🌐 Professional Profile

Educations📚📚📚

Dr. José Fernando Maya-Vetencourt obtained his Bachelor’s degree in Biology from the University of the Andes in Merida. He then pursued a Master’s degree in Biochemistry and Cellular Biology at the Ecole Normale Supérieure in Paris, where he contributed to an international research project. He earned his PhD in Neurobiology at the Scuola Normale Superiore of Pisa under the mentorship of Lamberto Maffei and continued there as a Postdoctoral fellow. His postdoctoral work extended to the NEST laboratory.

Research Interests

Dr. Maya-Vetencourt’s research interests encompass:

  1. Neuronal Interfaces: Developing devices to substitute damaged tissues in the nervous system.
  2. Optogenetics and Neuronal Plasticity: Investigating mechanisms underlying sensory perception and behavior.
  3. Retinal Circuitries: Studying physiological and pathological conditions in the retina.

Publications and Academic Contributions

Dr. Maya-Vetencourt has published 34 scientific manuscripts in esteemed peer-reviewed journals, with 29 indexed in PubMed, including Science, Nature Neuroscience, and Nature Nanotechnology. He has edited one neuroscience book, authored four book chapters, and co-invented four patents. His work has garnered over 3400 citations, an H-index of 22 on Google Scholar, and an average impact factor per manuscript of 13.06.

Teaching and Mentorship

He has supervised over 35 Master’s thesis students in Neuroscience and Biotechnology. Dr. Maya-Vetencourt is a member of the Italian Society of Neuroscience (SINS), the American Society of Neuroscience (SfN), and the Italian Physiological Society (SIF). He serves as an associate review editor for “Frontiers in Molecular Neuroscience” and “Frontiers in Cellular Neuroscience”.

Awards and Recognitions

In 2017, Dr. Maya-Vetencourt received two prestigious “Young Investigator” awards: one from the Italian Physiological Society in Pavia and another from the Federation of European Physiological Societies in Vienna.

Pioneering Research

Dr. Maya-Vetencourt pioneered approaches to reactivate juvenile-like plasticity in the adult visual system (Nat Neurosc 2007; Science 2008). He explored chromatin susceptibility mechanisms for reinstating plasticity in the adult brain (Eur J Neurosci 2011). At IIT, he set up an electrophysiology lab to apply photovoltaic interfaces in rodent models of retinitis pigmentosa, leading to the development of a fully organic prosthetic device for subretinal implantation in RCS rats (Nat Mat 2017). This research demonstrated significant recovery of light sensitivity and visual acuity, accompanied by increased metabolic activity in the visual cortex.

Current Projects

Dr. Maya-Vetencourt is currently working on adapting surgical implant procedures for pig models to evaluate biocompatibility and visual function recovery (Front Bioeng Biotech 2020). He is also developing innovative “liquid” retinal prostheses to address age-related macular degeneration (Nat Nanotech 2020a, 2020b).

Future Directions

Dr. Maya-Vetencourt continues to advance the field of neuroscience by developing novel, biocompatible, and cost-effective solutions for neurodegenerative diseases, aiming to improve therapeutic outcomes for patients with degenerative blindness.

 

 

📝🔬Publications📝🔬

  • 1. Edoardo Porzano, Benedetta Borghi, José Fernando Maya-Vetencourt. 2024.
    Environmental enrichment as an innovative therapeutic approach to treat neurodegenerative
    blindness (in preparation)
    2. Edoardo Porzano, Dominga Lapi, Benedetta Borghi, Silvia Marracci, Melecchi Alberto,
    Giovanni Casini, José Fernando Maya-Vetencourt. 2024. Enriched environment
    enhances visual responses of the inner retina in early-stage retinitis pigmentosa (in
    preparation)
    3. Dmytro Shmal, Giulia Mantero, Thomas Floss, Fabio Benfenati, José Fernando MayaVetencourt. 2024. Restoring vision in adult amblyopia by enhancing plasticity through
    deletion of the transcriptional repressor REST. iScience 27(4): 109507. IF 5.8
    4. Ilaria Piano, Arianna Votta, Patrizia Colucci, Francesca Corsi, Sara Vitolo, Chiara Cerri, Dario
    Puppi, Michele Lai, José Fernando Maya-Vetencourt, Massimiliano Leigheb, Chiara
    Gabellini, Elisabetta Ferraro. 2023. Anti-inflammatory reprogramming of microglia cells by
    metabolic modulators to counteract neurodegeneration: a new role for Ranolazine. Scientific
    Reports 13: 20138. IF 5.13
    5. Simona Francia, Stefano Di Marco, Mattia Lorenzo DiFrancesco, Davide Ferrari, Dmytro
    Shmal, Alessio Cavalli, Grazia Pertile, Marcella Attanasio, José Fernando MayaVetencourt, Giovanni Manfredi, Guglielmo Lanzani, Fabio Benfenati, Elisabetta Colombo.
    2023. P3HT-Graphene device for the restoration of visual properties in a model of retinitis
    pigmentosa. Advanced Materials Technologies 8: 2201467. IF 8.86
    6. Domenico Ventrella*, José Fernando Maya-Vetencourt*, Alberto Elmi, Francesca Barone,
    Camilla Aniballi, Luisa Vera Muscatello, Maurizio Mete, Grazia Pertile, Fabio Benfenati, Maria
    Laura Bacci. 2022. The p-ERG spatial acuity in the biomedical pig under physiological
    conditions. Scientific Reports 12: 15479. IF 5.13
    7. Simona Francia, Dmytro Shmal, Stefano Di Marco, Greta Chiaravalli, José Fernando MayaVetencourt, Giulia Mantero, Caterina Michetti, Sara Cupini, Giovanni Manfredi, Mattia
    Lorenzo DiFrancesco, Anna Rocchi, Sara Perotto, Marcella Attanasio, Riccardo Sacco, Silvia
    Bisti, Maurizio Mete, Grazia Pertile, Guglielmo Lanzani, Elisabetta Colombo, Fabio Benfenati.
    2022. Light induced charge generation in polymeric nanoparticles restores vision in
    advanced-stage retinitis pigmentosa rats. Nature Communications 13: 3677. IF 17.69
    8. Miguel Skirzewski, Stéphane Molotchnikoff, Luis F Hernandez, José Fernando MayaVetencourt. 2022. Multisensory integration: is medial prefrontal cortex signaling relevant for
    the treatment of higher-order visual dysfunctions? Frontiers in Molecular Neuroscience
    14: 806376. IF 5.63
    9. Stefano di Marco, Mattia Di Francesco, Elisabetta Colombo, Giovanni Manfredi, José
    Fernando Maya- Vetencourt, Guglielmo Lanzani, Fabio Benfenati. 2020. Modulation of
    neuronal firing: what role can nanotechnology play? Nanomedicine 8: 579141. IF 4.7
    10. José Fernando Maya-Vetencourt, Stefano Di Marco, Maurizio Mete, Mattia Di Paolo,
    Francesca Barone, Domenico Ventrella, Giovanni Manfredi, Silvia Bisti, Guglielmo Lanzani,
    Grazia Pertile, Maria Laura Bacci, Fabio Benfenati. 2020. Biocompatibility of a polymeric
    subretinal prosthesis in the domestic pig. Frontiers in Bioengineering and
    Biotechnology 8: 1188. IF 6.06
    11. José Fernando Maya-Vetencourt, Giovanni Manfredi, Maurizio Mete, Elisabetta Colombo,
    Mattia Bramini, Mattia DiFrancesco, Dmytro Shmal, Cyril Eleftheriou, Francesca Di Maria,
    Vanessa Cossu, Laura Emionite, Flavia Ticconi, Cecilia Marini, Gianmario Sambuceti, Grazia
    Pertile, Guglielmo Lanzani, Fabio Benfenati. 2020. Subretinal semiconducting polymer
    nanoparticles fully rescue vision in a rat model of retinal dystrophy. Nature
    Nanotechnology 15: 698. IF 40.5
    12. DiFrancesco Mattia, Elisabetta Colombo, Ermanno Papaleo, José Fernando MayaVetencourt, Giovanni Manfredi, Guglielmo Lanzani, Fabio Benfenati. 2020. A hybrid P3HTGraphene interface for efficient photostimulation of neurons. Carbon 162: 308. IF 11.3
    13. Francesca Barone, Luisa Vera Muscatello, Domenico Ventrella, Alberto Elmi, Noemi
    Romagnoli, Luciana Mandrioli, José Fernando Maya-Vetencourt, Cristiano Bombardi,
    Maurizio Mete, Giuseppe Sarli, Fabio Benfenati, Grazia Pertile, Maria Laura Bacci. 2020. The
    porcine iodoacetic acid model of retinal degeneration: morpho-functional characterization of
    the visual system. Experimental Eye Research 193 107979. IF 3.77
    14. Mattia DiFrancesco, Francesco Lodola, Elisabetta Colombo, Luca Maragliano, Giuseppe M.
    Paternò, Mattia Bramini, Simone Cimò, Letizia Collela, Daniele Fazzi, José Fernando MayaVetencourt, Chiara Bertarelli, Guglielmo Lanzani, Fabio Benfenati. 2020. Neuronal firing
    modulation by a membrane-targeted photoswitch. Nature Nanotechnology 15(4): 296. IF
    40.5
    15. Stéphane Molotchnikoff, Vishal Bharmauria, Nayan Chanauria, Lyes Bachatene, José
    Fernando Maya- Vetencourt. 2019. The function of connectomes in encoding sensory
    stimuli. Progress in Neurobiology 101659. IF 14.16
    16. Luisa Vera Muscatello, Francesca Barone, Domenico Ventrella, Alberto Elmi, Luciana
    Mandrioli, Noemi Romagnoli, José Fernando Maya-Vetencourt, Cristiano Bombardi,
    Maurizio Mete, Giuseppe Sarli, Fabio Benfenati, Grazia Pertile, Maria Laura Bacci. 2019.
    Retinal features in iodoacetic-treated biomedical pigs as a model for photoreceptor disorders.
    Journal of Comparative Pathology 166: 103. IF N.A.
    17. Francesca Barone, Eleonora Nannoni, Alberto Elmi, Domenico Ventrella, Marika Vitali,
    Giovanna Martelli, José Fernando Maya-Vetencourt, Fabio Benfenati, Maria Laura Bacci.
    2018. Behavioral assessment of vision in pigs. Journal of the American Association for
    Laboratory Animal Science 57(4): 350. IF 1.34

Liwei Deng- Autonomous Driving- Best Researcher Award

Published on by Network Science

Liwei Deng- Autonomous Driving-Best Researcher Award

Prof. Liwei Deng distinguished academic and researcher in the field Autonomous Driving. 

🌐 Professional Profile

Educations📚📚📚

He holds a Ph.D. in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, which he earned in 2014. His dissertation focused on “Control Theory and Its Applications of Fractional Order Sliding Mode” under the supervision of Professor Shenmin Song. Prior to this, he completed a Master of Science in Control Theory and Control Engineering at Harbin University of Science and Technology in 2010, where his thesis was titled “Pressure Data Acquisition and Control System Based on ARM,” supervised by Professor Junshan Gao. He began his academic journey with a Bachelor of Engineering in Automation from Jiamusi University, Jiamusi, China, graduating in 2007.

 Experience:

He began his academic career as a Lecturer in the School of Automation at Harbin University of Science and Technology, serving from October 2014 to August 2018. Following this, he was promoted to Associate Professor within the same school, a role he held from August 2018 to August 2023. In September 2023, he was further promoted to the position of Professor at the School of Automation. Additionally, since May 2023, he has been serving as a Doctoral Supervisor in the School of Computer Science and Technology at Harbin University of Science and Technology.

Projects 

He has been actively involved in various research projects over the years. From 2021 to 2024, he led the Key R&D Program Guidance Projects of Heilongjiang Province (Grant No. GZ20210065), focusing on the development of intelligent winding equipment for hydrogen cylinders based on robots. As the Principal Investigator for the National Science Foundation for Young Scientists of China (Grant No. 61806060) from 2019 to 2021, he researched diabetic retinal image analysis algorithms using fractional order differential and deep learning. During the same period, he also served as Principal Investigator for a project funded by the Natural Science Foundation of Heilongjiang Province, China, which focused on the key technology of defect detection of wind turbine blades based on images taken by unmanned aerial vehicles. From 2017 to 2020, he was the Principal Investigator for the Harbin Program of Science and Technology (Grant No. 2017RAQXJ006), which aimed to develop key technologies for the automatic production line for rubber bridge bearing members. Additionally, he played significant roles in several other projects, including being a Principal Participant in the National Natural Science Foundation of China project (Grant No. 61174037) on distributed motion autonomous coordination control of on-orbit multi-spacecraft expectation mode (2011-2015), a Participant in the State Key Program of National Natural Science of China (Grant No. 61333003) on coordination control technology for networked satellite clusters (2012-2016), and a Principal Participant in a project funded by the Natural Science Foundation of Heilongjiang Province, China (Grant No. F030101) on the dynamic morphology of hyperchaotic attractors (2013-2016).

📝🔬Publications📝🔬

    • Deng, L., Zou, Y., Yang, X. et al. L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration[J]. Biomed. Eng. Lett.(2024).（WOS:001139763600001）
    • Deng, L., Lan, Q., Zhi, Q. et al. Deep learning-based 3D brain multimodal medical image registration[J]. Med Biol EngComput .2024,62: 505–（WOS:001098686900001）
    • Biao Zhang, Sheng Wang, Liwei Deng, et al.Ship motion attitude prediction model based on IWOA-TCN-Attention[J].Ocean Engineering,2023,272:113911
    • Liwei Deng, Henan Sun, Jing Wang, et al.A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network[J].CMC-Computers, Materials & Continua,2023,77(2):2271–（WOS:0011269599000 24）
    • Liwei Deng, Zhen Liu,Jiandong Wang et al.ATT-YOLOv5-Ghost: Water surface object detection in complex scenes[J].Journal of Real-Time Image Processing,2023,20:97.（WOS:001050358900001）
    • LiweiDeng,ShanshanLiu,WeiShi,et al.Defect Detection and Classification of Offshore Wind Turbine Rotor Blades[J].Nondestructive Testing and Evaluation,2023.（WOS:001025791800001）
    • Yuheng Yin, Yangang Guo, Liwei Deng, et al.Improved Pspnet-Based Water Shoreline Detection in Complex Inland River Scenarios[J]. Complex & Intelligent Systems, 2022,9(1): 233-245.（WOS:000816995100001）
    • Liwei Deng, Yue Wang, Qi Lan,etal.Remote sensing image building change detection based on efficient-UNet++[J].Journal of Applied Remote Sensing,2023,17(3):034501.（WOS:00177860300006）
    • Liwei Deng, He Cao,QingboDong,etal.Semi-Supervised Lane Detection for Continuous Traffic Scenes[J].Traffic Injury Prevention.2023,24(6):452-457.（WOS:001008469300001）
    • Liwei Deng, Yanchao Zou, SijuanHuang,et al. Deformable 3D Medical Image Registration with ConvolutionalNeural Network and Transformer[J].Journal of Instrumentation.2023,(18):P04029（WOS:000986658100 001）
    • Rui Zhang, Cong Xie, Liwei Deng. A Fine-Grained Object Detection Model for Aerial Images Based on Yolov5 Deep Neural Network[J]. Chinese Journal of Electronics, 2023, 32(1): 51-63.（WOS:000932261100001）
    • Liwei Deng, Yufei Ji, Sijuan Huang, et al.Synthetic CT generation from CBCT using Double-Chain-CycleGAN[J].Computers in Biology and Medicine.2023,106889.（WOS:001006917800001）
    • Liwei Deng, JiandongWang, Zhen Liu. Cascaded Network Based on EfficientNet and Transformer for Deepfake Video Detection[J].Neural Processing Letters.2023.（WOS:000961765200002）
    • Liwei Deng, QiangZhi, Sijuan Huang, et al. A Deformable Patch-based Transformer for 3D Medical Image Registration[J].International Journal of Computer Assisted Radiology and Surgery.2023.（WOS:000990481800001）
    • Liwei Deng, Yuanzhi Zhang, Xin Yang, et al. Meta-learning Multi-scale Radiology Medical Image Superresolution[J].CMC-Computers, Materials & Continua.2023,75(2) :2671-2684.（WOS:000980836000018）
    • Liwei Deng, Yuanzhi Zhang, Jing Wang, et al. Improving Performance of Medical Image Alignment through Super-resolution[J].Biomedical Engineering Letters.2023.（WOS:000934806000001）
    • LiweiDeng ,Mingxing Zhang , JingWang, et al.Improving Cone-Beam Ct Quality Using a Cycle-Residual Connection with a Dilated Convolution-Consistent Generative Adversarial Network[J]. Physics in Medicine & Biology, 2022,67(14): 145010.（WOS:000822102200001）
    • Liwei Deng, Jie Hu, Jing Wang, et al.Synthetic CT Generation Based on CBCT Using Respath-cycleGAN[J]. Medical Physics, 2022,49(8): 5317-5329.（WOS:000792418600001）
    • Zhe Yan, Shuchun Chu, Liwei Deng. Visual SLAM Based on Instance Segmentation in Dynamic Scenes[J]. Measurement Science and Technology.2021,32(9):095113.（WOS:000662668300001）

    Conference Papers

    • Liwei Deng*, Yuanzhi Zhang, Xiaofei Wang. High-definition Processing of Remote Sensing Images Based on CUT-CycleGAN[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045982).
    • Liwei Deng*, YueWang, Jing Han. Optical Disc Location Based on Similarity toImproved Harris Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311046402).
    • Liwei Deng*, Hongfei Suo, Haonan Ren. Research on Tension Control System of Winding Machine Based on Fuzzy PID Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045650).
    • Yuheng Yin, Yangang Guo, Liwei Deng*. Research on Image Processing Application of Improved Adaptive Filter Based on LPSO Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045948).
    • Yanshu Jiang, Mingqi Jia, Biao Zhang, Liwei Deng. Malicious Domain Name Detection Model Based on CNN-GRU-Attention[C], The 33rd Chinese Control and Decision Conference, CCDC 2021.
    • Liwei Deng, Xiaofei Wang.A New Fracture Image Segmentation Method Based on MSA-k Clustering Algorithm[C], The 39th Chinese Control Conference, CCC 2020.( EI：20203909242340).
    • Liwei Deng,Jie Hu,Jingjing Qi. Super-Resolution Reconstruction of Finger Vein Image Based on Regression Tree Model[C],The 32nd Chinese Control and Decision Conference, CCDC 2020.( EI：20204009254996).

Giorgia Modenini – Biological Networks – Young Scientist Award

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Giorgia Modenini – Biological Networks – Young Scientist Award

Dr. Giorgia Modenini distinguished academic and researcher in the field Biological Networks.

🌐 Professional Profile

Educations📚📚📚

She has been deeply engaged in academic pursuits since 2014,  commencing with her Bachelor of Science degree in Natural Sciences from the University of Bologna, Italy, where she attained a commendable grade of 106/110. This laid the foundation for her subsequent academic journey. Building upon her undergraduate studies, she pursued a Master of Science in Biodiversity and Evolution at the same institution, achieving the highest distinction of 110/110 cum laude, indicative of her exceptional aptitude and dedication. Undeterred by challenges, she continued to excel in her academic endeavors and embarked on a PhD course in Environment, Earth, and Life Sciences at the University of Bologna. Spanning from 2020 to the present, this doctoral program underscores her commitment to advancing knowledge and contributing to the fields of biological, geological, and environmental sciences. Throughout her academic trajectory, she has demonstrated a fervent passion for her chosen disciplines and a relentless pursuit of excellence.

Awards

She has actively contributed to the academic community through various engagements and leadership roles in conferences focused on the role of transposable elements in human evolution and diseases. Notably, she organized and co-chaired the “Transposable Elements in Human Brain Evolution and Diseases” virtual conferences in December 2021 and December 2022, featuring esteemed speakers such as Marie Jönnson, Jose Luis Garcia-Perez, Fabio Macciardi, Cedric Feschotte, Johan Jakobsson, and Molly Gale Hammell. Her dedication to advancing knowledge in this field is further exemplified by her role as the organizer and co-chair of the “Transposable Elements in Human Evolution and Diseases” virtual conference in February 2024, featuring confirmed invited speakers Anna Sophie Fiston-Lavier and Marco Trizzino. Moreover, her outstanding contributions were recognized with the “Best Poster Award” at the XXV Congress of the Italian Anthropological Association, presented by the Italian Primatologists Association, for her poster titled “Exploring signatures of adaptive introgression on chromosome 22 in worldwide human populations,” a fitting tribute to the memory of Judith Masters and Fabien Génin. Through these endeavors, she continues to foster collaboration and facilitate discussions at the forefront of scientific research.

Academic experience

She has been actively involved in various academic activities spanning several years, showcasing her commitment to advancing knowledge in her field. From April to September 2019, she undertook an internship at the Molecular Anthropology Lab at the University of Bologna, Italy. Here, she delved into the intricate relationships between non-LTR retrotransposons and schizophrenia in both modern and ancient human populations. This experience provided her with invaluable insights into the intersection of genetics and mental health. Subsequently, in February to May 2023, she embarked on an international internship at the Globe Institute, Lundbeck Foundation, Copenhagen, Denmark. During this period abroad, she immersed herself in the project titled “Investigating human evolution through the lens of retrotransposons,” further expanding her understanding of evolutionary genetics. Currently, since November 2020, she has been engaged as a PhD student at the Molecular Anthropology Lab, University of Bologna, Italy. Her doctoral research focuses on studying retrotransposition events and DNA methylation in the evolution of the human brain, a testament to her continued dedication to unraveling the complexities of human evolution and genetics.

Seminars and thesis

She has been actively involved in supervising and supporting research projects and academic activities related to transposable elements and genetic variability. Under her guidance as a supervisor, Giacomo Mercuri presented his thesis titled “Polymorphic transposable element insertions provide new insights into North-Eastern Italian isolates’ genetic variability” for the LM Biodiversità ed Evoluzione program. Similarly, Stefano Puleo explored the signatures of adaptive introgression on chromosome 22 in worldwide human populations for his thesis under her supervision. Additionally, she has contributed to the academic community by delivering lessons on “Transposable Elements as drivers of genome evolution” and “Transposable Elements as drivers of evolution” for the course “Genetica di popolazione ed evoluzione molecolare,” showcasing her expertise in the field. Furthermore, she supervised Francesco Magni’s thesis, which focused on transposable elements variability in ancient and modern human samples, further enriching the understanding of genetic dynamics. Through these mentorship roles and academic contributions, she continues to advance knowledge and foster intellectual growth in the field of biodiversity and evolution.

📝🔬Publications📝

 

 

 

Carolina Cabrero – Applications of Network science in Archeology Award – Young Scientist Award

Published on by Network Science

Carolina Cabrero – Applications of Network science in Archeology Award – Young Scientist Award

Dr. Carolina Cabrero distinguished academic and researcher in the field Applications of Network science in Archeology. She currently holds a position as a Postdoctoral Researcher at the Grupo de Estudios en Prehistoria Reciente de Andalucía (GEPRAN, HUM-274) within the Department of Prehistory and Archaeology at the University of Granada in Spain. Commencing on July 7, 2023, she specializes in Prehistory, particularly focusing on Megalithic complexes, spatial patterns, and quantitative archaeology, with expertise in Geographic Information Systems. For inquiries, she can be reached at (+34) 958243611.

🌐 Professional Profiles

Educations📚📚📚

She holds a Ph.D. in History and Arts from the University of Granada, which she completed in 2023. Prior to this, she obtained a University Expert certification in Anthropology from the University of Isabel I in 2021. She also holds a Master of Science degree in Archaeology from the University of Granada, achieved in 2018. Her academic journey began with a Bachelor’s degree in History from the University of Oviedo, which she completed in 2015. Experience

She has held various positions in the field of archaeology and research. From January 23, 2023, to April 8, 2023, she served as a Co-director in the project of photovoltaic power plants in Pinos Puente-Colomera with CLÍO Arqueología in Spain, which concluded upon the project’s completion. Prior to this, from May 31, 2022, to October 31, 2022, she worked as a Technician in Proyecto ALCO with Palimpsesto Lda. in Portugal, completing her tenure with the project’s conclusion. She also worked as a Director in several projects, including “Replanteando el megalitismo del sudeste. Prospección arqueológica superficial en el entorno de los ríos Gor y Fardes” as a freelancer in Spain from March 30, 2022, to June 15, 2022. Additionally, she served as Director in Projecto Florestal da Herdade das Lendas as a freelancer in Portugal from August 30, 2021, to September 31, 2022. She was also the Director in the Archaeological excavation of the site Seixinho with Archéocelis in Portugal from April 1, 2021, to July 31, 2021. Prior to these roles, she worked as a Predoctoral Researcher in the Department of Prehistory and Archaeology at the University of Granada in Spain from December 1, 2019, until completing her research on July 7, 2023.

📝🔬Publications📝🔬

Thomas Liehr – Biological Networks Award – Best Researcher Award

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Thomas Liehr – Biological Networks Award – Best Researcher Award

Assoc Prof Dr. Thomas Liehr distinguished academic and researcher in the field Biological Networks. The Lab of Molecular Cytogenetics at the Institut für Humangenetik in Jena pursues various research lines, all linked by a common interest in chromosome structure and evolution. His primary focus lies within the realm of clinical genetic research, specifically in characterizing acquired and inherited chromosomal aberrations to comprehend the underlying biological mechanisms behind such deviations from the norm. Ongoing projects delve into topics such as small supernumerary marker chromosomes, chromosomal heteromorphisms, uniparental disomy, chromosomal breakpoints, and multicolor-FISH techniques. In the field of leukemia research, he contributes to identifying cryptic chromosomal aberrations associated with the disease. Additionally, the lab investigates chromosomal evolution through collaborations with other research groups studying diverse species such as fish (in Brazil), turtles (in Italy), and rodents (in Russia). In addition to employing multicolor fluorescence in situ hybridization techniques, he utilizes methods like immunohistochemistry, microsatellite analysis, array-CGH, and next-generation sequencing to further his research objectives

🌐 Professional Profiles

Educations📚📚📚

He holds various academic positions across different institutions and countries, showcasing his expertise and contributions to the field of medicine and biology. Since November 7, 2016, he has served as a Visiting Professor of Medicine at the University of Belgrade School of Medicine in Belgrade, RS. Furthermore, he has been awarded an honorary Doctorate in Biology (Dr. h.c.) from Yerevan State University in Armenia, a recognition he has held since June 25, 2014. Concurrently, he holds the position of Invited Professor of Biology at Yerevan State University since May 1, 2013, further emphasizing his international engagement in academia. In addition to his roles in teaching and research, he obtained European registered Clinical Laboratory Geneticists (ErCLG) certification in Human Genetics from Friedrich-Schiller-Universität Jena in Thüringen, Germany, a qualification he held from January 1, 2009, until April 1, 2015. Through these positions and qualifications, he contributes significantly to the advancement of knowledge and education in the fields of medicine and biology.

Work experiences

He has had a distinguished career trajectory marked by significant contributions to the field of human genetics. Beginning as a scientific coworker at the Institute of Human Genetics Erlangen under the guidance of Prof. Dr. E. Gebhart from 1991 to 1998, he embarked on a path of research and academic engagement. During his tenure, he was honored as a Fellow of the Herbert Quandt Stiftung der VARTA-AG from 1995 to 1997, further solidifying his commitment to advancing genetic knowledge. Since 1998, he has continued his research as a scientific coworker at the Institute of Human Genetics Jena, focusing on Molecular Cytogenetics. Notably, he has held the role of Coordinator of the Permanent Working Group Marker Chromosomes of the European Cytogenetic Association (ECA) since 2007, demonstrating his leadership in the field. Additionally, he served as Co-Editor of the journal Molecular Cytogenetics from 2007 to 2022, contributing to scholarly discourse and dissemination of research findings. Since September 2010, he has led the national quality control efforts for molecular cytogenetics as the head of the national quality control for molecular cytogenetics under the BVDH. His international engagements include serving as a member of the DAAD-review board in Brazil from 2010 to 2017 and chairing the scientist division of the European Board of Medical Genetics (ESHG) since 2012. Moreover, he has been an Invited Professor at Yerevan State University, Armenia, since May 2013, and was honored with a Doctorate h.c. and golden medal from the same institution in September 2014, recognizing his outstanding contributions to the field. He achieved European registered Clinical Laboratory Geneticist (ErCLG) certification in July 2015, further affirming his expertise and qualifications in the field of genetics. Additionally, he has served on the Advisory Board of the Armenian Association of Molecular and Cellular Biology and Immunology since 2012, further demonstrating his commitment to international collaboration and advancement in genetics research and education.

📝🔬Publications📝🔬